Xem 1-20 trên 88 kết quả Decision trees
  • Đồ án tốt nghiệp: Nghiên cứu Datamining microsoft server 2005 với thuật toán microsoft association rules và microsoft decision tree trình bày về khái niệm khai thác dữ liệu; các thuật toán khai thác dữ liệu; decision tree; định hướng phát triển. Mời các bạn tham khảo.

    pdf82p congtratct91 12-03-2015 30 8   Download

  • This paper describes novel and practical Japanese parsers that uses decision trees. First, we construct a single decision tree to estimate modification probabilities; how one phrase tends to modify another. Next, we introduce a boosting algorithm in which several decision trees are constructed and then combined for probability estimation. The two constructed parsers are evaluated by using the EDR Japanese annotated corpus. The single-tree method outperforms the conventional .Japanese stochastic methods by 4%. ...

    pdf7p bunrieu_1 18-04-2013 13 5   Download

  • This paper discusses a decision-tree approach to the problem of assigning probabilities to words following a given text. In contrast with previous decision-tree language model attempts, an algorithm for selecting nearly optimal questions is considered. The model is to be tested on a standard task, The Wall Street Journal, allowing a fair comparison with the well-known trigram model.

    pdf4p bunrieu_1 18-04-2013 30 4   Download

  • In the face of sparsity, statistical models are often interpolated with lower order (backoff) models, particularly in Language Modeling. In this paper, we argue that there is a relation between the higher order and the backoff model that must be satisfied in order for the interpolation to be effective. We show that in n-gram models, the relation is trivially held, but in models that allow arbitrary clustering of context (such as decision tree models), this relation is generally not satisfied. ...

    pdf5p hongdo_1 12-04-2013 16 3   Download

  • Syntactic natural language parsers have shown themselves to be inadequate for processing highly-ambiguous large-vocabulary text, as is evidenced by their poor performance on domains like the Wall Street Journal, and by the movement away from parsing-based approaches to textprocessing in general. In this paper, I describe SPATTER, a statistical parser based on decision-tree learning techniques which constructs a complete parse for every sentence and achieves accuracy rates far better than any published result. ...

    pdf8p bunmoc_1 20-04-2013 25 3   Download

  • This paper presents a decision-tree approach to the problems of part-ofspeech disambiguation and unknown word guessing as they appear in Modem Greek, a highly inflectional language. The learning procedure is tag-set independent and reflects the linguistic reasoning on the specific problems. The decision trees induced are combined with a highcoverage lexicon to form a tagger that achieves 93,5% overall disambiguation accuracy.

    pdf8p bunthai_1 06-05-2013 16 3   Download

  • Chapter 5: Decision trees Introduction to decision tree; Decision tree for pattern recognition; Construction of decision trees; Splitting at the nodes; Overfitting and pruning; Example of decision tree induction.

    ppt30p cocacola_10 08-12-2015 5 1   Download

  • Cây quyết định (decision tree) là một trong những hình thức mô tả dữ liệu trực quan nhất, dễ hiểu nhất đối với người dùng. Cấu trúc của một cây quyết định bao gồm các nút và các nhánh. Nút dưới cùng được gọi là nút lá, trong mô hình phân lớp dữ liệu chính là các giá trị của các nhãn lớp (gọi tắt là nhãn). Các nút khác nút lá được gọi là các nút con, đây còn là các thuộc tính của tập dữ liệu, hiển nhiên các thuộc tính này...

    pdf70p ruavanguom 18-11-2012 191 67   Download

  • Given a collection of records (training set ) Each record contains a set of attributes, one of the attributes is the class. Find a model for class attribute as a function of the values of other attributes. Goal: previously unseen records should be assigned a class as accurately as possible. A test set is used to determine the accuracy of the model. Usually, the given data set is divided into training and test sets, with training set used to build the model and test set used to validate it.

    ppt101p trinh02 18-01-2013 43 8   Download

  • Association rules represent a promising technique to find hidden patterns in a medical data set. The main issue about mining association rules in a medical data set is the large number of rules that are discovered, most of which are irrelevant. Such number of rules makes search slow and interpretation by the domain expert difficult. In this work, search constraints are introduced to find only medically significant association rules and make search more efficient.

    pdf8p lebronjamesuit 23-08-2012 39 6   Download

  • Tuyển tập các báo cáo nghiên cứu khoa học trên tạp chí toán học quốc tế đề tài: Optimal Decision Trees on Simplicial Complexes...

    pdf31p thulanh5 13-09-2011 15 4   Download

  • Tuyển tập các báo cáo nghiên cứu khoa học ngành y học tạp chí Medical Sciences dành cho các bạn sinh viên ngành y tham khảo đề tài: MALDI-TOF MS Combined With Magnetic Beads for Detecting Serum Protein Biomarkers and Establishment of Boosting Decision Tree Model for Diagnosis of Colorectal Cancer...

    pdf9p thulanh9 07-10-2011 25 4   Download

  • Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Cost effectiveness of community-based therapeutic care for children with severe acute malnutrition in Zambia: decision tree model...

    pdf9p coxanh_4 27-10-2011 26 3   Download

  • Modifiable risk factors predicting major depressive disorder at four year follow-up: a decision tree approach

    pdf8p thulanh29 18-12-2011 16 3   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Decision-Tree-Based Algorithm for Speech/Music Classification and Segmentation

    pdf14p dauphong16 18-02-2012 18 3   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Decision tree-based acoustic models for speech recognition

    pdf32p sting07 18-02-2012 11 2   Download

  • Named entity (NE) recognition is a task in which proper nouns and numerical information in a document are detected and classified into categories such as person, organization, location, and date. NE recognition plays an essential role in information extraction systems and question answering systems. It is well known that hand-crafted systems with a large set of heuristic rules are difficult to maintain, and corpus-based statistical approaches are expected to be more robust and require less human intervention. ...

    pdf8p bunrieu_1 18-04-2013 8 2   Download

  • In this chapter, you learned to: Define the terms state of nature, event, decision alternatives, payoff, and utility; organize information in a payoff table or a decision tree; compute opportunity loss and utility function; find an optimal decision alternative based on a given decision criterion; assess the expected value of additional information.

    ppt25p tangtuy09 21-04-2016 6 2   Download

  • When you complete this chapter you should be able to: Create a simple decision tree, build a decision table, explain when to use each of the three types of decision-making environments, calculate an expected monetary value (EMV), compute the expected value of perfect information (EVPI), evaluate the nodes in a decision tree, create a decision tree with sequential decisions.

    ppt29p tangtuy18 12-07-2016 3 2   Download

  • Over-fitting the training data, handling continuous-valued (i.e., real-valued) attributes, choosing appropriate measures for attribute selection, handling training data with missing attribute values, handling attributes with differing costs.

    pdf12p lalala06 02-12-2015 5 1   Download

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